Manila, Cyber One Eastwood

6/F Cyber One Building, 11, City Cyberpark, Bagumbayan, Quezon City, Philippines

Located inside Eastwood City - the 17 hectares (42 acres) office, commercial, and residential mixed-use development is located in the Libis area of Quezon City. It was developed by the real estate giant Megaworld Corporation. It currently hosts 12 luxury residential condominium towers, 11 office buildings, two shopping malls and many restaurants and coffee shops. Cyber One is a modern office IT building consisting of 31 floors with gleaming exterior with column-free layout providing flexibility in space planning, state-of-the-art telecommunications and an eye catching tempered glass exterior. Major companies based here include IBM Business Services, Inc., Fonterra Brand, Gandour Philippines, and Emperador Distillers Inc.

Subcategories (2)

Image for the Random Forest

Random Forest
Image for the AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

 21 Hours
This instructor-led, live training in Caloocan (online or onsite) is aimed at beginner to intermediate-level developers and data scientists who wish to learn the basics of LightGBM and explore advanced techniques. By the end of this training, participants will be able to:
  • Install and configure LightGBM.
  • Understand the theory behind gradient boosting and decision tree algorithms
  • Use LightGBM for basic and advanced machine learning tasks.
  • Implement advanced techniques such as feature engineering, hyperparameter tuning, and model interpretation.
  • Integrate LightGBM with other machine learning frameworks.
  • Troubleshoot common issues in LightGBM.
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AdaBoost Python for Machine Learning

 14 Hours
This instructor-led, live training in Caloocan (online or onsite) is aimed at data scientists and software engineers who wish to use AdaBoost to build boosting algorithms for machine learning with Python. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start building machine learning models with AdaBoost.
  • Understand the ensemble learning approach and how to implement adaptive boosting.
  • Learn how to build AdaBoost models to boost machine learning algorithms in Python.
  • Use hyperparameter tuning to increase the accuracy and performance of AdaBoost models.
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Machine Learning with Random Forest

 14 Hours
This instructor-led, live training in Caloocan (online or onsite) is aimed at data scientists and software engineers who wish to use Random Forest to build machine learning algorithms for large datasets. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start building machine learning models with Random forest.
  • Understand the advantages of Random Forest and how to implement it to resolve classification and regression problems.
  • Learn how to handle large datasets and interpret multiple decision trees in Random Forest.
  • Evaluate and optimize machine learning model performance by tuning the hyperparameters.
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Upcoming Courses

Machine Learning with Random Forest

2025-05-28 09:30
14 hours
Manila, Cyber One Eastwood
105356 PHP (Online)
111656 PHP (Classroom)

Machine Learning with Random Forest

2025-06-11 09:30
14 hours
Manila, Cyber One Eastwood
105356 PHP (Online)
111656 PHP (Classroom)

AdaBoost Python for Machine Learning

2025-06-25 09:30
14 hours
Manila, Cyber One Eastwood
105356 PHP (Online)
111656 PHP (Classroom)

Machine Learning with Random Forest

2025-07-09 09:30
14 hours
Manila, Cyber One Eastwood
105356 PHP (Online)
111656 PHP (Classroom)

LightGBM for Machine Learning

2025-07-23 09:30
21 hours
Manila, Cyber One Eastwood
158034 PHP (Online)
167484 PHP (Classroom)

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